{"id":"W6905876878","doi":"10.15468/dl.q8yg9p","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009616507,0.001920852,0.001520194,0.004781504,0.001035424,0.002513954,0.002683476,0.002078828,0.1690685],"category_scores_gemma":[0.00605112,0.0008625856,0.001224919,0.009099592,0.0004547862,0.002461976,0.00260808,0.0019951,0.2426427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502163,"about_ca_system_score_gemma":0.002301037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060688,"about_ca_topic_score_gemma":0.03455064,"domain_scores_codex":[0.9989929,0.0001456838,0.0001223611,0.0003612934,0.0002137478,0.0001640721],"domain_scores_gemma":[0.9973823,0.0007427708,0.0002220342,0.0007136958,0.0006565522,0.0002826923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000264922,0.00001139162,0.000360987,0.0004772584,0.00001192934,0.00001387919,0.00002195137,0.0001116125,0.00009920078,0.0003202881,0.9971412,0.001403766],"study_design_scores_gemma":[0.0000675724,0.000008849524,0.001749075,0.0001920748,0.00001238206,0.000033236,0.00007755516,0.0001547192,0.0001711894,0.0007695283,0.9967469,0.00001684304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004668684,0.00002851559,0.00004581026,0.00004332586,0.00001483108,0.000006450029,0.9986493,0.0004390753,0.0007260219],"genre_scores_gemma":[0.0001666638,0.00003461929,0.0002164469,0.00005227396,0.000004277414,0.00004840097,0.9987797,0.0001666547,0.0005309331],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8309315,"threshold_uncertainty_score":0.5655905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}